Kuehl -- Example 7.2 -- Chem Methods and Days The GLM Procedure Class Level Information Class Levels Values method 2 1 2 day 4 1 2 3 4 Number of Observations Read 16 Number of Observations Used 16 Kuehl -- Example 7.2 -- Chem Methods and Days The GLM Procedure Dependent Variable: serum Sum of Source DF Squares Mean Square F Value Pr > F Model 7 945.697500 135.099643 9.37 0.0026 Error 8 115.340000 14.417500 Corrected Total 15 1061.037500 R-Square Coeff Var Root MSE serum Mean 0.891295 2.665290 3.797038 142.4625 Source DF Type I SS Mean Square F Value Pr > F method 1 329.4225000 329.4225000 22.85 0.0014 day 3 431.4425000 143.8141667 9.97 0.0044 method*day 3 184.8325000 61.6108333 4.27 0.0446 Source DF Type III SS Mean Square F Value Pr > F method 1 329.4225000 329.4225000 22.85 0.0014 day 3 431.4425000 143.8141667 9.97 0.0044 method*day 3 184.8325000 61.6108333 4.27 0.0446 Tests of Hypotheses Using the Type III MS for method*day as an Error Term Source DF Type III SS Mean Square F Value Pr > F method 1 329.4225000 329.4225000 5.35 0.1038 day 3 431.4425000 143.8141667 2.33 0.2522 Kuehl -- Example 7.2 -- Chem Methods and Days The GLM Procedure Source Type III Expected Mean Square method Var(Error) + 2 Var(method*day) + Q(method) day Var(Error) + 2 Var(method*day) + 4 Var(day) method*day Var(Error) + 2 Var(method*day) Kuehl -- Example 7.2 -- Chem Methods and Days The Mixed Procedure Model Information Data Set WORK.ONE Dependent Variable serum Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values method 2 1 2 day 4 1 2 3 4 Dimensions Covariance Parameters 3 Columns in X 3 Columns in Z 12 Subjects 1 Max Obs Per Subject 16 Number of Observations Number of Observations Read 16 Number of Observations Used 16 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 99.27592127 1 1 92.50478302 0.00000000 Convergence criteria met. Kuehl -- Example 7.2 -- Chem Methods and Days The Mixed Procedure Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr > Z Alpha Lower day 20.5508 31.9364 0.64 0.2600 0.05 3.7537 method*day 23.5967 25.4095 0.93 0.1765 0.05 5.9986 Residual 14.4175 7.2087 2.00 0.0228 0.05 6.5779 Covariance Parameter Estimates Cov Parm Upper day 84154 method*day 1546.30 Residual 52.9148 Fit Statistics -2 Res Log Likelihood 92.5 AIC (smaller is better) 98.5 AICC (smaller is better) 100.9 BIC (smaller is better) 96.7 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F method 1 3 5.35 0.1038